Widgets Make Numeric Data Manageable and Meaningful for Everyone
Communicating numeric data as meaningful information to an audience without a background in data science can be difficult. But CARTO Builder’s Dashboard Widgets help make numeric data valuable for everyone.
When working with numeric data a data type comprised of columns and rows of numbers representing measurable values and/or observations Dashboard Widgets help non-specialists visually navigate a dataset within a geographically specific context. CARTO Builder’s User Interface includes Dashboard Widgets an application of interactive visual filters allowing map viewers to target select subsets of data for further exploration. Available widgets in dashboard include category histogram formula and time-series and as each widget interacts with a numeric dataset the map visualization responds. These responses exemplify Dashboard Widget’s dynamic behavior which is what facilitates a map viewer’s deeper engagement with numeric data but without making any modifications to the original dataset.
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In terms of numeric data viewers will find category and formula widgets helpful. Category widgets visually filter aggregated data columns defined within a numeric dataset. This widget has two behaviors that help viewers navigate more easily charts of numeric data: first the unlock/lock behavior highlights a single category of the dataset for a more narrow examination; second the search categories behavior allows viewers to search for patterns across multiple categories within the dataset.
Whereas category widgets work with numeric data columns formula widgets filter data based upon defined elements within each row. Formula widgets are particularly helpful with analyses too as only formula widgets can define interactions between widgets and the original data. Additionally viewers have the option of including supplemental text that appears underneath the formula widgets as well.
There’s plenty more to say about Builder’s Dashboard Widgets but we would rather hear from you! How have widgets helped you manage numeric datasets?